Interactive television content personalization as a trend in the development of visual communication in the new media

Interactive television is one of the types of new media. Personalization of content (focus of personalized content on user needs) is becoming an important trend in the development of new media visual communications, interactive television in particular. Whereas the model of traditional mass communication is one-to-many (the active source), the focus of new media communications is narrower and can be reduced to the many-to-one model (the active recipient model of information retrieval systems). This article covers various aspects of personalization of interactive television content (themes, genres, forms, concepts of geolocation, identification, and individualization). It also examines the phenomenon of the “filter bubble” through which personalization of new media content is carried out. It identifies such important trends in the development of content personalization as the possibility of formation of direct democracy, individual communication of any citizen with the authorities via the new media, electronic voting, and others. The new media and interactive TV will bring many benefits to “prosumers,” who will be able to choose any setting or content while viewing, configure filters, and view TV content anywhere. However, personalization will complicate the process of using television, requiring from the viewers at least basic knowledge of new technologies. Despite the possibility of direct democracy through personalized new media, there is a threat of manipulation of public opinion and imposing content by media owners. Thus, it is necessary to raise the level of media literacy of the population and strengthen public control over the creation of the new media content

Multi-User Interactive TV: the Next Step in Personalization

In the past few years there has been an increasing trend towards personalization in the TV world. IMS-based IPTV is a good example of a highly personalized IPTV architecture, featuring an advanced identity management subsystem. This article studies a next step in the personalization of the television experience: concurrent use of TV services that are supported by the IMSbased IPTV system. That is, multiple users using the same television set at the same or at different times, where each user as personalized interaction with the service and content. Our analysis of IMS-based IPTV use cases shows that current architectures were not designed with concurrent use in mind. However, we demonstrate that the combination of concurrent use and personalized TV services can yield interesting and viable use cases in the areas of interactive game shows, personalized electronic program guides and channel lists, and other. Finally, an analysis of the IMS-based IPTV system and architecture shows that it has all the ingredients to implement these new concurrent TV use cases, and that the main challenges will be in the area of usability. The article concludes that personalization and concurrency are not contradictory for television services, neither from a use case perspective, nor technologically. In particular, the IMS-based IPTV system is able to facilitate an enhanced and personalized experience to concurrent TV users

NoTube – making TV a medium for personalized interaction

In this paper, we introduce NoTube’s vision on deploying semantics in interactive TV context in order to contextualize distributed applications and lift them to a new level of service that provides context-dependent and personalized selection of TV content. Additionally, lifting content consumption from a single-user activity to a community-based experience in a connected multi-device environment is central to the project. Main research questions relate to (1) data integration and enrichment - how to achieve unified and simple access to dynamic, growing and distributed multimedia content of diverse formats? (2) user and context modeling - what is an appropriate framework for context modeling, incorporating task-, domain and device-specific viewpoints? (3) context-aware discovery of resources - how could rather fuzzy matchmaking between potentially infinite contexts and available media resources be achieved? (4) collaborative architecture for TV content personalization - how can the combined information about data, context and user be put at disposal of both content providers and end-users in the view of creating extremely personalized services under controlled privacy and security policies? Thus, with the grand challenge in mind - to put the TV viewer back in the driver's seat – we focus on TV content as a medium for personalized interaction between people based on a service architecture that caters for a variety of content metadata, delivery channels and rendering devices

Studying Interaction Methodologies in Video Retrieval

So far, several approaches have been studied to bridge the problem of the Semantic Gap, the bottleneck in image and video retrieval. However, no approach is successful enough to increase retrieval performances significantly. One reason is the lack of understanding the user's interest, a major condition towards adapting results to a user. This is partly due to the lack of appropriate interfaces and the missing knowledge of how to interpret user's actions with these interfaces. In this paper, we propose to study the importance of various implicit indicators of relevance. Furthermore, we propose to investigate how this implicit feedback can be combined with static user profiles towards an adaptive video retrieval model

Group Modeling : selecting a sequence of television items to suit a group of viewers

Peer reviewedPostprin

Identificação de utilizadores em IPTV- melhorar a experiência de utilização dos seniores

Watching TV is changing and becoming more personalized as we witness a spread use of interactive television, Personal Video Recorders (PVR) and Set-Top-Boxes (STB) enabling access to time-shifted content and a large range of interactive services. However, this technological mediation does not guarantee by itself an effective personalization of content, since it relies on the STB identification being not appropriated for a multi-viewer scenario. So, knowledge about who is in front of TV set becomes of paramount importance, especially for TV operators’ they can provide services perfectly targeted to the viewers. In this context, elderly (avid consumers of television) are a specific type of users that can benefit from services based on a non-intrusive identification system. This work aims to study this issue and identify a layer of customizable services which can improve the viewing experience of elderly.FCTiNeighbour TVPTDC/CCICOM/100824/200

Young children learning with mobile devices: Research on design and implementation

The increasing growth and usage of mobile devices, such as tablets and iPads, by young children has not yet been accompanied by systematic research about the effects they have on children's learning and the conditions that facilitate or hinder learning and engagement. As a result, only few empirically-based guidelines exist to guide parents, educators, and application (app) designers when choosing or designing apps for young children, often leading to non-evidence-based decisions, or the design of apps with little educational value. This symposium aims to bring together researchers from Australia, the UK and USA to discuss what evidence exist about the learning potential of mobile devices and apps for young children and how it could be used to inform relevant stakeholders

ImTV: Towards an Immersive TV experience

3rd International Workshop on Future Television: Making Television Integrated and Interactive, Adjunct Proceeding of EuroiTVThe media marketplace has witnessed an increase in the amount and types of viewing devices available to consumers. Moreover, a lot of these are portable, and offer tremendous personalization opportunities. Technology, distribution, reception and content developments all influence new 'television' viewing/using habits. In this paper, we report results and findings of a transnational three year research project on the Future of TV. Our main contributions are organized into three main dimensions: (1) a user survey concerning behaviors associated with media engagement; (2) technologies driving the social and personalized TV of the 21st century, e.g. crowdsourcing and recommendation systems; and (3) technologies enabling interactions and visualizations that are more natural, e.g. gestures and 360º video.info:eu-repo/semantics/publishedVersio

Making 'The Daily Me': Technology, economics and habit in the mainstream assimilation of personalized news

The mechanisms of personalization deployed by news websites are resulting in an increasing number of editorial decisions being taken by computer algorithms — many of which are under the control of external companies — and by end users. Despite its prevalence, personalization has yet to be addressed fully by the journalism studies literature. This study defines personalization as a distinct form of interactivity and classifies its explicit and implicit forms. Using this taxonomy, it surveys the use of personalization at 11 national news websites in the UK and USA. Research interviews bring a qualitative dimension to the analysis, acknowledging the influence that institutional contexts and journalists’ attitudes have on the adoption of technology. The study shows how: personalization informs debates on news consumption, content diversity, and the economic context for journalism; and how it challenges the continuing relevance of established theories of journalistic gate-keeping